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Introduction
We are seeking summer intern candidates with proven interest and experience in developing advanced computational methods and pipelines, applied to accelerated drug discovery.
Your Role and Responsibilities
This is for a 2025 summer internship with the following start dates: May - August or June - September for quarter system schools.
Successful candidates will work on creating, designing and applying new pipelines, tools and methods for AI foundational models or quantum computing used to accelerate the research and discovery of new targets and drug candidates. Specific projects may involve: building ML applications and UI tools (using Streamlit, React, Flask, or Django) for model interaction and visualization in a cloud environment leveraging Docker, OpenShift ,Git, Travis, and other tools; implementing deep learning models using PyTorch for drug discovery applications and performing distributed training to optimize model performance; efficiently managing, querying, and processing biological and chemical data using relational and key-value store databases.
Required Technical and Professional Expertise
Applicants should be PhD & MS students pursuing graduate studies.
An undergraduate degree or equivalent in computer science, electrical and computer engineering, computational biology, computational chemistry, molecular biology, molecular chemistry, or related fields.
Experience with cloud tools for machine learning workflows (e.g., Docker, OpenShift), and SQL or NoSQL databases.
Strong foundation in machine learning and deep learning with experience in PyTorch and distributed training.
Strong problem-solving, and communication skills and a passion for learning and developing new technologies collaboratively.
Preferred Technical and Professional Expertise
Basic understanding of chemistry, biology, molecular representations, and drug discovery workflows.
Some experience with vector databases.
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Location StatementSupplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law.
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